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All Journal Journal of Applied Data Sciences International Journal of Robotics and Control Systems Sewagati Journal of Medicine and Health Technology
Kuswanto, Djoko
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Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Neuroscience Public Health Social Sciences Other

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Application of 3D Printing Technology for Medical Purposes: A State of the Art Pamungkas, Yuri; Kuswanto, Djoko; Syafira Eljatin, Dwinka; Nugroho Njoto, Edwin
Journal of Medicine and Health Technology Vol. 2 No. 1 (2025)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30466865.v2i1.2255

Abstract

Introduction: The application of 3D printing technology in healthcare has revolutionized various medical practices, allowing for personalized solutions tailored to individual patient needs. This study explores the current state of 3D printing in medical applications, highlighting its benefits and challenges. Method: A comprehensive review of existing literature was conducted, focusing on the utilization of 3D printing for creating anatomical models, prosthetics, and bioprinting of living tissues. The analysis included a survey of various additive manufacturing techniques, such as Selective Laser Sintering (SLS) and Stereolithography (SLA), to assess their effectiveness in medical contexts. Results: The findings indicate that 3D printing enhances surgical planning by providing accurate anatomical models, thereby improving surgical outcomes. Additionally, the technology facilitates the production of custom implants and prosthetics, leading to better integration with patients' anatomy. Bioprinting has shown promise in developing artificial organs and regenerative therapies, significantly impacting transplant medicine. Discussion: While 3D printing offers substantial advantages, challenges such as regulatory hurdles, ethical considerations, and the need for standardized practices remain. The technology's potential in personalized medicine is vast, suggesting a future where individualized treatments are commonplace. Continued research and collaboration among medical professionals, technologists, and regulatory bodies are essential to address these challenges and optimize the benefits of 3D printing in healthcare. This study underscores the transformative impact of 3D printing in medicine and its potential to enhance patient care and outcomes across various applications.
Deep Learning Approach to Lung Cancer Detection Using the Hybrid VGG-GAN Architecture Pamungkas, Yuri; Kuswanto, Djoko; Syaifudin, Achmad; Triandini, Evi; Hapsari, Dian Puspita; Nakkliang, Kanittha; Uda, Muhammad Nur Afnan; Hashim, Uda
International Journal of Robotics and Control Systems Vol 5, No 3 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i3.1923

Abstract

Lung cancer ranks among the primary contributors to cancer-related deaths globally, highlighting the need for accurate and efficient detection methods to enable early diagnosis. However, deep learning models such as VGG16 and VGG19, commonly used for CT scan image classification, often face challenges related to class imbalance, resulting in classification bias and reduced sensitivity to minority classes. This study contributes by proposing an integration of the VGG architecture and Generative Adversarial Networks (GANs) to improve lung cancer classification performance through balanced and realistic synthetic data augmentation. The proposed approach was evaluated using two datasets: the IQ-OTH/NCCD Dataset, which classifies patients into Benign, Malignant, and Normal categories based on clinical condition, and the Lung Cancer CT Scan Dataset, annotated with histopathological labels: Adenocarcinoma, Squamous Cell Carcinoma, Large Cell Carcinoma, and Normal. The method involves initial training of the VGG model without augmentation, followed by GAN-based data generation to balance class distribution. The experimental results show that, prior to augmentation, the models achieved relatively high overall accuracy, but with poor performance on minority classes (marked by low precision and F1-scores and FPR exceeding 8% in certain cases). After augmentation with GAN, all performance metrics improved dramatically and consistently across all classes, achieving near-perfect precision, TPR, F1-score, and overall accuracy of 99.99%, and FPR sharply reduced to around 0.001%. In conclusion, the integration of GAN and VGG proved effective in overcoming data imbalance and enhancing model generalization, making it a promising solution for AI-based lung cancer diagnostic systems.
Exploring the Determinants of User Acceptance for the Digital Diary Application in Type 1 Diabetes Management: A Structural Equation Modeling Approach Triandini, Evi; Permana, Putu Adi Guna; Hanief, Shofwan; Kuswanto, Djoko; Pamungkas, Yuri; Perwitasari, Rayi Kurnia; Hisbiyah, Yuni; Rochmah, Nur; Faizi, Muhammad
Journal of Applied Data Sciences Vol 6, No 3: September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i3.767

Abstract

Effective management of Type 1 Diabetes (T1D), especially in children, requires continuous monitoring and care. Digital health applications have become vital in supporting routine T1D management, including insulin delivery, glucose monitoring, nutrition, and physical activity tracking. This study investigates factors influencing user acceptance of a digital diary app designed for children with T1D and their families. Using an extended Technology Acceptance Model incorporating Trust, Perceived Risk, Perceived Enjoyment, and Social Influence, a survey was conducted with 114 participants, including parents, physicians, and dietitians. Data were analyzed using Partial Least Squares Structural Equation Modeling. Findings indicate that perceived usefulness, trust, and social influence significantly affect users' attitudes and intentions to use the app, through the accepted hypothesis that considered path coefficients and p-values. Conversely, hypothesis that shows relation between perceived ease of use, enjoyment, and risk toward intention were rejected, showing unsignificant relations toward user intention to use. Furthermore, this study recommends prioritizing robust security features, fostering user trust, and engaging social networks to enhance digital health adoption in pediatric care. Future research should further explore the roles of perceived risk and enjoyment in sustaining long-term engagement
Peningkatan Literasi Kesehatan Masyarakat tentang Nyeri Punggung Bawah Melalui Edukasi Interaktif dengan Manekin Tiga Dimensi Tulang Belakang Abnormal Gumilar Fardhani; Indriani, Ratri Dwi; Eljatin, Dwinka Syafira; Njoto, Edwin Nugroho; Fadhlina, Afia Nuzila; Wirayuda, Anak Agung Bagus; Sari, Desiana Widityaning; Radiansyah, Riva Satya; Hedianto, Tri; Kuswanto, Djoko
Sewagati Vol 9 No 6 (2025)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v9i6.9133

Abstract

Nyeri punggung bawah merupakan penyakit muskuloskeletal dengan prevalensi tertinggi yang memerlukan upaya edukasi preventif kepada masyarakat. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pengetahuan masyarakat tentang nyeri punggung bawah melalui edukasi interaktif menggunakan manekin tulang belakang abnormal yang dikembangkan dari data MRI dan CT scan pasien nyeri punggung bawah, dimanufaktur menggunakan teknologi 3D printing dan cetakan silikon-lateks, serta dirangkai dengan wire khusus untuk memvisualisasikan mekanika nyeri punggung bawah. Metode pelaksanaan meliputi pelatihan kader mahasiswa sebagai fasilitator edukasi, penyuluhan masyarakat di Pendopo Kelurahan Medokan Semampir, serta skrining kesehatan gratis. Sebanyak 75 peserta menghadiri kegiatan, dengan 61 orang mengisi pretest-posttest lengkap. Hasil menunjukkan peningkatan pengetahuan yang signifikan (p<0,05) dari skor pretest (9,44 ± 0,96) ke posttest (9,79 ± 0,55), mengonfirmasi bahwa metode ini efektif dalam menstandarisasi pemahaman konsep biomekanika yang kompleks (ditunjukkan dengan penurunan standar deviasi). Skrining kesehatan gratis terbukti meningkatkan ketertarikan dan partisipasi masyarakat. Saran ke depan meliputi pembentukan kader kesehatan untuk menyebarluaskan edukasi secara berkelanjutan, monitoring dan evaluasi rutin, serta pengembangan media edukasi dalam berbagai format untuk memastikan program memberikan dampak jangka panjang terhadap literasi dan perilaku kesehatan masyarakat.
Co-Authors Achmad Syaifudin Dian Puspita Hapsari Dwinka Syafira Eljatin Evi Triandini Fadhlina, Afia Nuzila Gumilar Fardhani Hashim, Uda Hedianto, Tri Hisbiyah, Yuni Indriani, Ratri Dwi Muhammad Faizi, Muhammad Nakkliang, Kanittha Njoto, Edwin Nugroho Nugroho Njoto, Edwin Nur Rochmah, Nur Perwitasari, Rayi Kurnia Putu Adi Guna Permana Radiansyah, Riva Satya Sari, Desiana Widityaning Shofwan Hanief Syafira Eljatin, Dwinka Uda, Muhammad Nur Afnan Wirayuda, Anak Agung Bagus Yuri Pamungkas